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Статті в журналах з теми "Medical Machines"
Hosseini, *. Syed Abbas. "Estimation Risk of X-Ray Machines From Medical Procedures." International Journal of Scientific Research 3, no. 2 (June 1, 2012): 418–19. http://dx.doi.org/10.15373/22778179/feb2014/137.
Повний текст джерелаWartman, Steven A. "Medicine, Machines, and Medical Education." Academic Medicine 96, no. 7 (March 30, 2021): 947–50. http://dx.doi.org/10.1097/acm.0000000000004113.
Повний текст джерелаMANABE, H. "Consideration of Medical-Machines Central Managenent." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 60, no. 3 (March 1, 1990): 121–28. http://dx.doi.org/10.4286/ikakikaigaku.60.3_121.
Повний текст джерелаHolzman, Robert S. "Anesthesia Machines." AORN Journal 52, no. 1 (July 1990): 69–76. http://dx.doi.org/10.1016/s0001-2092(07)67286-x.
Повний текст джерелаMiller, D. Douglas, and Eric W. Brown. "How Cognitive Machines Can Augment Medical Imaging." American Journal of Roentgenology 212, no. 1 (January 2019): 9–14. http://dx.doi.org/10.2214/ajr.18.19914.
Повний текст джерелаScislo, Lukasz, and Nina Szczepanik-Scislo. "Influence of mechanical ventilation and cooling systems on vibrations of high precision machines." E3S Web of Conferences 100 (2019): 00080. http://dx.doi.org/10.1051/e3sconf/201910000080.
Повний текст джерелаSAKAMOTO, RYOSUKE. "Respondence of medical machines for open heart surgery." Japanese journal of extra-corporeal technology 17, no. 1 (1991): 39–42. http://dx.doi.org/10.7130/hokkaidoshakai.17.39.
Повний текст джерелаBentaouza, Chahinez Meriem, and Mohamed Benyettou. "Support Vector Machines for Microscopic Medical Images Compression." Pakistan Journal of Biological Sciences 17, no. 3 (February 15, 2014): 335–45. http://dx.doi.org/10.3923/pjbs.2014.335.345.
Повний текст джерелаEllaway, Rachel H. "Medical education and the war with the machines." Medical Teacher 36, no. 10 (September 12, 2014): 917–18. http://dx.doi.org/10.3109/0142159x.2014.955088.
Повний текст джерелаBasoglu, Chris, Ravi Managuli, George York, and Yongmin Kim. "Computing requirements of modern medical diagnostic ultrasound machines." Parallel Computing 24, no. 9-10 (September 1998): 1407–31. http://dx.doi.org/10.1016/s0167-8191(98)00064-7.
Повний текст джерелаДисертації з теми "Medical Machines"
Tjora, Aksel Hagen. "Caring machines : Emerging practices of work and coordination in the use of medical emergency communication technology." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Social Sciences and Technology Management, 1997. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13.
Повний текст джерелаStadig mer forskning fokuserer på utviklingen og bruken av teknologi, ikke minst i forbindelse med den stadige mer utbredte bruken av informasjons- og kommunikasjonsteknologi. Mange av disse studiene har vært motivert av ønsket om å vise til de fantastiske mulighetene som organisasjoner (særlig bedrifter) har ved å nyttiggjøre seg nyvinningene (se f.eks. Davidow og Malone, 1992 og Scott Morton, 1991). Mange samfunnsvitenskapelige studier har imidlertid inntatt en mye mer kritisk holdning til de teknologiske nyvinningene. Innenfor sosiologien er det flere slike tilnærminger.
Sosiologiske perspektiver på teknologi
I de funksjonalistiske tilnærmingene fokuseres det på hvilke effekter de tekniske systemene har på brukerne av dem, og spesielt hvordan alle systemer medfører uintenderte konsekvenser, blant annet ved at de nye systemenes latente funksjoner (Merton, 1967) trer fram i dagen etterhvert som systemene kommer i bruk. I disse studiene betrakter man de tekniske systemene som makrostrukturer som følger sin egen utvikling mer eller mindre uavhengig av brukerne (dvs de er teknologideterministiske).
I Marxistiske tilnærminger unngår man en ensidig determinisme ved at teknologiene antas å være i dialektisk motsetning til de sosiale systemene. Spesielt betraktes teknologiske nyvinninger som kapitalistenes middel for å beholde sitt herredømme over arbeiderklassen. I nyere perspektiver (se f.eks. Winner, 1977; 1986, Hirschorn, 1984; Feenberg, 1991) påpeker man at det er de kulturelle verdiene som er knyttet til teknologidesign som medfører uheldige konsekvenser (som for eksempel degradering av arbeidskraft), og ikke teknologien i seg selv.
Tilsvarende fokuserer de sosialkonstruktivistiske studiene (Bijker, Hughes og Pinch, 1987; Bijker og Law, 1992; Law, 1991) på hvordan den teknologiske utviklingen eller de teknologiske nnovasjonene ikke følger naturlige utviklingsveier, men konstrueres i nettverk av aktører som hver på sin måte presser fram sine interesser i forhold til et teknologisk artefakt. Mange av konstruktivistene benekter et skille mellom tekniske og sosiale systemer (eller aktører). De mener at det er umulig å egentlig separere det tekniske og sosiale, og velger i stedet å betrakte de totale relasjonene som et sømløst vev. Konstruktivistene bruker spesielt historiske studier av teknologi-utvikling for å identifisere aktører i slike vev, og dermed undersøke hva som ligger bak de løsninger som velges i utviklingen av tekniske artefakter.
I de senere årene er det blitt flere forskere som ved å bruke etnografiske studier av teknologisk praksis undersøker hvordan tekniske og sosiale aktører samhandler. I disse studiene er man i motsetning til de konstruktivistiske tilnærmingene mer opptatt av bruken av teknologi enn utviklingen av den. Men i samme ånd som konstruktivistene er man opptatt av å vise hvordan den teknologiske praksis i sterk grad utvikles ved hjelp av sosiale mekanismer, for eksempel i arbeidsgrupper, og hvordan tekniske praksisimperativer rekonstrueres i daglig sosial praksis (se f.eks. Suchman, 1987; Hutchins, 1988; 1990; 1995; Hutchins og Klausen, 1996; Heath og Luff, 1992; 1996; Orr, 1996; Engeström og Middleton, 1996).
Alle disse tilnærmingene har viktige bidrag til sosiologiske studier av utvikling og bruk av teknologi. Imidlertid ser det ut til at det er vanskelig å skape en teoretisk syntese av teorier som bygger på såpass forskjellige antakelser. I denne avhandlingen kombinerer jeg imidlertid deler fra teoriene ved et feltstudium der én type teknologi benyttes i flere ulike kontekster, slik at både aktør-perspektiver og struktur-perspektiver blir relevante. Et empirisk felt som gir denne muligheten er bruken av medisinske nødmeldesentraler i Norge.
The study of technology has recently become more focused in various schools of sociology. However, Marxist, functionalist, social constructivist, and ethnographic research, have tended to explain technological development either from macro or micro perspectives. Further research is needed to increase our understanding of technology as situated in its social and institutional contexts, where individual and professional relations are considered. In this thesis, elements from several approaches are applied to the study of communication technology in Norwegian medical emergency communication centres.
About ten years ago, LV (doctor-on-call) centres, each manned by one nurse to handle local requests for a doctor, were established in nursing homes. AMK (acute medical communication) centres were introduced in hospitals, and are manned by teams of two to four nurses and ambulance coordinators to handle medical emergency calls (113), internal hospital alarms and local requests for a doctor. Even though the intensity and work loads are very different between the LV and AMK centres, the technical artefacts that are used are basically similar in both types of centre.
Using a comparative case approach, the use of technology was studied through interviews with nurses, doctors and administrative personnel and by observations of the work in six LV and three AMK centres.
There are three main findings in this thesis. First, the operation of LV centres in nursing homes conflicts with the general nursing home practice, and many LV centres are redefined by its users as switchboards to decrease the burden that is placed upon them.
Second, the nurses who work with requests for doctors in a similar way in the AMK centres in fact manage to solve many problems on the phone. The thesis discusses how these differences have emerged from performing the same job with the same technological tools.
Third, the handling of emergency calls at the AMK centres is accomplished through intense social and technically coordinated work. An ideal model of this kind of coordination, “the coordinated climate”, is developed from the observations in the AMK centres, and results from control room studies are applied.
The three findings are summarised in a discussion of how structures constrain and facilitate social and technological practice.
Yao, Jing M. Eng Massachusetts Institute of Technology. "Reduce cycle time and work in process in a medical device factory : scheduling of needle hub molding machines." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42326.
Повний текст джерелаIncludes bibliographical references (p. 51).
Many manufacturing firms have improved their operations by implementing a work-in-process (WIP) limiting control strategy. This project explores the application of this concept to limit WIP and reduce cycle time for the Becton, Dickinson and Company's manufacturing facility in Tuas, Singapore. BD's Eclipse Safety Needle production line is facing increasing pressure to reduce its high WIP and long cycle times. With the forecast of increasing demand, the current production control practice will sooner or later push the shop floor space to a limit. We divided the overall system into three manageable sub-systems and analyzed different strategies for each. This paper documents the approaches to schedule 30 molding machines. These machines are located at the first stage of the production line. Although the total production rate of the 30 machines is higher than the downstream machines, the production rate of each product type is much slower because of machine constraints. This project groups the 30 machines into three groups, and proposes different strategies to reduce the total WIP level and cycle time.
by Jing Yao.
M.Eng.
Taylor, Ashley Rae. "Innovating for Global Health through Community-Based Participatory Research: Design of Mechanical Suction Machines for Rural Health Clinics in Malawi." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/72975.
Повний текст джерелаMaster of Science
Osman, Mohamud Maria, and Ubilla Fernanda Sanchez. "Ultraljudsutbildningar för medicintekniska ingenjörer : Behovsinventering, inköpsprocedurer och effekter." Thesis, KTH, Medicinteknik och hälsosystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298194.
Повний текст джерелаThis study aims to investigate how ultrasound training for engineers is purchased, including how it is carried out and evaluated, what the different courses contain and what result the courses lead to. Six hospitals around Sweden were interviewed, where eleven medical engineers and four business managers participated. A qualitative method was used in the study with semi-structured interviews as a basis for analysing the issues. The results showed that the training courses are purchased in the procurement of new ultrasound machines and are carried out during the warranty years. The suppliers hold the training courses, which are usually held for two days. The effects of training vary and depend on the service agreement that the hospitals have. There is no formal model for evaluation and follow-up, even though annual meetings discuss how the training has gone and what skills are needed. The results can mainly be used to create better training and improve communication between hospital and supplier about what the course entails and what the engineers prefer for the content of courses to develop in the area.
Boaretto, Neury. "Classificação de defeitos de soldagem em imagens radiográficas PDVD de tubulações de petróleo: uma abordagem com ensemble de Extreme Learning Machines." Universidade Tecnológica Federal do Paraná, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/2890.
Повний текст джерелаThe inspection of radiographic images of welded joints is very subjective and is subject to errors of interpretation by the inspector. In this context, a great effort has been made in the last years to develop automatic and semiautomatic methods for detecting defects in welded joints. This research work presents an automated method for the detection and classification of defects in radiographic images of welded joints of pipes obtained by the double wall double image (DWDI) exposure technique obtained in real field situations and which generally have a lower quality than the images used in other studies. The proposed methos identifies the region of the weld bead, detects the discontinuities and classifies them as defects and non-defects, highlighting in the image the result. Classifiers are evalueted using methods of classification by multilayer perceptron (MLP) neural networks, extreme learning machines (ELM) neural networks, and Support Vector Machines (SVM). The proposed method for identifying the region of interest reached 100% precision in the segmentation od the weld bead. The SVM classifier performed better than the MLP and ELM classifiers in all scenarios tested. Using ELM ensembles, an F_score of 85,7% was obtained for a test patterns database, satisfactoryresults when compared to similar works. The use of ensembles of ELMs represents a gain of only 0,5% in the F-score compared to the best result of the individually trained network, however, with the use of ensemble decision threshold ranges, the presented method allows to show the discontinuities about which the ensemble is not sure, highlighting in the image these discontinuities as a region of uncertainty, leaving to the specialist the final evaluation of these discontinuities. The image resulting from the application of the method serves as an aid to the expert in the elaboration of reports.
Veropoulos, Konstantinos. "Machine learning approaches to medical decision making." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367661.
Повний текст джерелаSmyth, Katherine Marie. "Piezoelectric micro-machined ultrasonic transducers for medical imaging." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108938.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 175-184).
Next generation medical imaging technology hinges on the development of cost effective and array compatible transducers making piezoelectric micro-machined ultrasonic transducers (pMUTs) an attractive alternative to the current bulk piezoelectric technology. This thesis aims to realize pMUT potential starting with the development of an effective single cell model that is further scaled to optimize multi-cell elements in a 1D array. In the first half of this work, a transverse mode, lead zirconate titanate (PZT) pMUT plate cell is fabricated using common micro-fabrication techniques and a PZT sol-gel deposition process. Through derivation using a novel Greens function solution technique, an equivalent circuit model with explicitly defined lumped parameters is presented and validated through electrical impedance measurements of fabricated devices and finite element modeling. The equivalent circuit is a crucial design tool as transducer performance metrics, including experimentally validated acoustic domain values, are shown to be defined directly from the lumped parameters. In the second half, figures of merit are identified from these performance metrics and an expanded multi-cell model is employed to strategically target improvements in both bandwidth and coupling while maintaining high pressure output. The resulting, optimized multicell elements in a 1D array are fabricated via a commercially viable, wafer-scale manufacturing process including a novel PZT dry etch. A top-down fabrication approach facilitates achievement of the largest active area of a multi-cell pMUT to date consisting of over 1000 cells in a 200pm x 4mm element footprint, and more substantially, results in the highest electromechanical coupling recorded for a pMUT to date measured at 9 ± 1.4% per element.
by Katherine Marie Smyth.
Ph. D.
Chi, Chih-Lin Street William N. "Medical decision support systems based on machine learning." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/283.
Повний текст джерелаChi, Chih-Lin. "Medical decision support systems based on machine learning." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/283.
Повний текст джерелаLetzner, Josefine. "Analysis of Emergency Medical Transport Datasets using Machine Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215162.
Повний текст джерелаBeslutet om till vilket sjukhus en ambulans ska köra patienten till bestäms idag av ambulanspersonalen. Den här rapporten beskriver användandet av övervakad maskininlärning för att förutsåga detta beslut. Resultaten från algoritmerna slumpmässig skog, logistisk regression och neurala nätvärk jämförs med varanda och mot ett basvärde. Basvärdet erhölls med algorithmen en-regel. Algoritmerna applicerades på verklig data från SOS-alarm, Sveriges operatör för larmsamtal. Resultaten mättes med noggrannhet och f1-poäng. Slumpmässigskog visade bäst resultat följt av neurala nätverk. Logistisk regression uppvisade något sämre resultat men var fortfarande betydligt bättre än basvärdet. Resultaten pekar mot att det är lämpligt att använda maskininlärning för att lära sig att ta beslut om val av sjukhus.
Книги з теми "Medical Machines"
Robert, Bud, Finn Bernard S. 1932-, and Trischler Helmuth, eds. Manifesting medicine: Bodies and machines. Amsterdam, the Netherlands: Harwood Academic, 1999.
Знайти повний текст джерела1973-, Johnson Ericka, and Berner Boel, eds. Technology and medical practice: Blood, guts and machines. Farnham: Ashgate, 2009.
Знайти повний текст джерелаBiohybrid systems: Nerves, interfaces, and machines. Weinheim: Wiley-VCH, 2011.
Знайти повний текст джерелаBueltzingsloewen, Isabelle von. Machines à instruire, machines à guérir: Les hôpitaux universitaires et la médicalisation de la société allemande (1730-1850). Lyon: Presses universitaires de Lyon, 1997.
Знайти повний текст джерелаAn empire of machines: The rise and consequences of technological medicine. Cambridge: Cambridge University Press, 2009.
Знайти повний текст джерелаTjora, Aksel Hagen. Caring machines: Emerging practices of work and coordination in the use of medical emergency communication technology. Trondheim: Faculty of Social Sciences and Technology Management, Norwegian University of Science and Technology, 1997.
Знайти повний текст джерелаLobanov, Aleksey. Medical and biological bases of safety. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1439619.
Повний текст джерелаThe body electric: How strange machines built the modern American. New York: New York University Press, 2003.
Знайти повний текст джерелаvan Rysewyk, Simon Peter, and Matthijs Pontier, eds. Machine Medical Ethics. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08108-3.
Повний текст джерелаRivalland, Paul. It's more than machines and medicine: They should understand, there's a Yan̲angu way : summary report : a short report ... on the activities of Western Desert Nganampa Walytja Palyantjaku Tjutaku. Casuarina, N.T: Cooperative Research Centre for Aboriginal Health, 2006.
Знайти повний текст джерелаЧастини книг з теми "Medical Machines"
Böckler, Ulrich, and Andreas Hahn. "Heart—Lung Machines." In Springer Handbook of Medical Technology, 621–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-74658-4_32.
Повний текст джерелаLucas, Joshua, and Gary Comstock. "Do Machines Have Prima Facie Duties?" In Machine Medical Ethics, 79–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08108-3_6.
Повний текст джерелаDeutsch, Erwin, and Hans-Ludwig Schreiber. "Clinics, Machines and Employees." In Medical Responsibility in Western Europe, 397–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70449-9_39.
Повний текст джерелаDeutsch, Erwin, and Hans-Ludwig Schreiber. "Clinics, Machines and Employees." In Medical Responsibility in Western Europe, 442–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70449-9_45.
Повний текст джерелаHenschke, Adam. "Opportunity Costs: Scarcity and Complex Medical Machines." In Machine Medical Ethics, 131–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08108-3_9.
Повний текст джерелаGrando, Adela, Laura Moss, Gemma Bel-Enguix, M. Dolores Jiménez-López, and John Kinsella. "Argumentation-Based Dialogue Systems for Medical Training." In Where Humans Meet Machines, 213–32. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6934-6_10.
Повний текст джерелаBošković, Dušanka. "Inspection and Testing of Dialysis Machines." In Inspection of Medical Devices, 203–20. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6650-4_10.
Повний текст джерелаGunkel, David J. "The Rights of Machines: Caring for Robotic Care-Givers." In Machine Medical Ethics, 151–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08108-3_10.
Повний текст джерелаHartmann, Kim, Ingo Siegert, and Dmytro Prylipko. "Emotion and Disposition Detection in Medical Machines: Chances and Challenges." In Machine Medical Ethics, 317–39. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08108-3_19.
Повний текст джерелаVallverdú, Jordi, and David Casacuberta. "Ethical and Technical Aspects of Emotions to Create Empathy in Medical Machines." In Machine Medical Ethics, 341–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08108-3_20.
Повний текст джерелаТези доповідей конференцій з теми "Medical Machines"
Yepes-Calderon, Fernando, Fabian Pedregosa, Bertrand Thirion, Yalin Wang, and Natasha Lepore. "Automatic pathology classification using a single feature machine learning support - vector machines." In SPIE Medical Imaging, edited by Stephen Aylward and Lubomir M. Hadjiiski. SPIE, 2014. http://dx.doi.org/10.1117/12.2043943.
Повний текст джерелаPowell, Stephanie, Vincent A. Magnotta, and Nancy C. Andreasen. "Automated image segmentation using support vector machines." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.705053.
Повний текст джерелаKitchen, Andy, and Jarrel Seah. "Support vector machines for prostate lesion classification." In SPIE Medical Imaging, edited by Samuel G. Armato and Nicholas A. Petrick. SPIE, 2017. http://dx.doi.org/10.1117/12.2277120.
Повний текст джерелаAcha, Begona, Carmen Serrano, Sergio Palencia, and Juan Jose Murillo. "Classification of burn wounds using support vector machines." In Medical Imaging 2004, edited by J. Michael Fitzpatrick and Milan Sonka. SPIE, 2004. http://dx.doi.org/10.1117/12.535491.
Повний текст джерелаBetancourt, Dismer R., Luis A. Andion Rodriguez, and Juan C. Alvarez Castillo. "Image acquisition system for Cuban Giroimag MRI machines." In Medical Imaging '98, edited by Yongmin Kim and Seong K. Mun. SPIE, 1998. http://dx.doi.org/10.1117/12.312544.
Повний текст джерелаSamulski, Maurice, Nico Karssemeijer, Peter Lucas, and Perry Groot. "Classification of mammographic masses using support vector machines and Bayesian networks." In Medical Imaging, edited by Maryellen L. Giger and Nico Karssemeijer. SPIE, 2007. http://dx.doi.org/10.1117/12.709679.
Повний текст джерелаFerrari, Ricardo J., Xingchang Wei, Yunyan Zhang, James N. Scott, and J. R. Mitchell. "Segmentation of multiple sclerosis lesions using support vector machines." In Medical Imaging 2003, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2003. http://dx.doi.org/10.1117/12.481377.
Повний текст джерелаSong, Caifeng, Weifeng Liu, and Yanjiang Wang. "Laplacian support vector machines for medical diagnosis." In 2012 International Conference on Computerized Healthcare (ICCH). IEEE, 2012. http://dx.doi.org/10.1109/icch.2012.6724485.
Повний текст джерелаYang, X., S. Y. Yeo, S. T. Wong, G. Lee, Y. Su, J. M. Hong, A. Choo, and S. Chen. "Color-texture based extreme learning machines for tissue tumor classification." In SPIE Medical Imaging, edited by Metin N. Gurcan and Anant Madabhushi. SPIE, 2016. http://dx.doi.org/10.1117/12.2216573.
Повний текст джерелаXue, Zhiyun, L. Rodney Long, Sameer Antani, Jose Jeronimo, and George R. Thoma. "Segmentation of mosaicism in cervicographic images using support vector machines." In SPIE Medical Imaging, edited by Josien P. W. Pluim and Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.812318.
Повний текст джерелаЗвіти організацій з теми "Medical Machines"
Lucas, Christine, Emily Hadley, Jason Nance, Peter Baumgartner, Rita Thissen, David Plotner, Christine Carr, and Aerian Tatum. Machine Learning for Medical Coding in Health Care Surveys. National Center for Health Statistics (U.S.), October 2021. http://dx.doi.org/10.15620/cdc:109828.
Повний текст джерелаMorgan, John J. Human in the Loop Machine Translation of Medical Terminology. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada522200.
Повний текст джерелаAlmulihi, Qasem, and Asaad Shujaa. Does Departmental Simulation and Team Training Program Reduce Medical Error and Improve Quality of Patient Care? A Systemic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0006.
Повний текст джерелаGates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), August 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.
Повний текст джерелаHart, Carl R., D. Keith Wilson, Chris L. Pettit, and Edward T. Nykaza. Machine-Learning of Long-Range Sound Propagation Through Simulated Atmospheric Turbulence. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41182.
Повний текст джерелаNikiforov, Vladimir. Smart Technical Systems of Measuring Technology and Measuring Technique, integrated into the smart complexes of medical technologies including laser Gears with the elements of Artificial Intelligence and Artificial neural network as form of Machine Learning. Intellectual Archive, May 2019. http://dx.doi.org/10.32370/iaj.2120.
Повний текст джерелаAdegoke, Damilola, Natasha Chilambo, Adeoti Dipeolu, Ibrahim Machina, Ade Obafemi-Olopade, and Dolapo Yusuf. Public discourses and Engagement on Governance of Covid-19 in Ekiti State, Nigeria. African Leadership Center, King's College London, December 2021. http://dx.doi.org/10.47697/lab.202101.
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